| Spatio-temporal meta-graph learning for traffic forecasting R Jiang, Z Wang, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8078-8086, 2023 | 182 | 2023 |
| Python 機械学習プログラミング 達人データサイエンティストによる理論と実践 S Raschka, V Mirjalili, 株式会社クイープ, 福島真太朗 インプレス, 2018 | 39* | 2018 |
| Model change detection with the MDL principle K Yamanishi, S Fukushima IEEE Transactions on Information Theory 64 (9), 6115-6126, 2018 | 23 | 2018 |
| Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation X Xu, T Suzumura, J Yong, M Hanai, C Yang, H Kanezashi, R Jiang, ... Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 14 | 2023 |
| Change sign detection with differential MDL change statistics and its applications to COVID-19 pandemic analysis K Yamanishi, L Xu, R Yuki, S Fukushima, C Lin Scientific Reports 11 (1), 19795, 2021 | 8 | 2021 |
| Python によるあたらしいデータ分析の教科書 寺田学， 辻真吾， 鈴木たかのり， 福島真太朗 翔泳社, 2022 | 6 | 2022 |
| データ分析プロセス 福島真太朗 Useful R 2, 2015 | 6* | 2015 |
| Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle S Fukushima, K Yamanishi Entropy 21 (12), 1134, 2019 | 5 | 2019 |
| Image processing device and program S Fujimoto, T Oshida, M Yamanaka, S Fukushima US Patent App. 16/131,204, 2019 | 5 | 2019 |
| Graph Summarization with Latent Variable Probabilistic Models S Fukushima, R Kanai, K Yamanishi Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 4 | 2022 |
| Online robust and adaptive learning from data streams S Fukushima, A Nitanda, K Yamanishi arXiv preprint arXiv:2007.12160, 2020 | 4 | 2020 |
| Python machine learning programming guru data scientist theory and practice S Raschka, S Fukushima June 30, 1, 2016 | 3 | 2016 |
| 一般道実走行における自車センサ情報を用いた車線変更の検出 根山亮， 福島真太朗， 宮崎勝彦， 那和一成 第 8 回 Web とデータベースに関するフォーラム論文集 2015, 110-117, 2015 | 3 | 2015 |
| Balancing Summarization and Change Detection in Graph Streams S Fukushima, K Yamanishi 2023 IEEE International Conference on Data Mining (ICDM), 1025-1030, 2023 | 2 | 2023 |
| MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling R Jiang, Z Wang, J Yong, P Jeph, Q Chen, Y Kobayashi, X Song, ... arXiv preprint arXiv:2212.05989, 2022 | 2 | 2022 |
| Detecting Hierarchical Changes in Latent Variable Models S Fukushima, K Yamanishi 2020 IEEE International Conference on Data Mining (ICDM), 1028-1033, 2020 | 2 | 2020 |
| R によるハイパフォーマンスコンピューティング 福島真太朗 (No Title), 2014 | 1 | 2014 |
| RECOMMENDATION METHOD T Sonobe, S Fukushima, Y Kanehana, J Yong US Patent App. 18/741,769, 2025 | | 2025 |
| INFORMATION PROCESSING DEVICE Y Yamaura, S Fukushima, T Sasai, Y Fukasawa, K Seki, J Yong, Y Yokoi US Patent App. 18/439,954, 2024 | | 2024 |
| Graph Community Augmentation with GMM-based Modeling in Latent Space S Fukushima, K Yamanishi arXiv preprint arXiv:2412.01163, 2024 | | 2024 |